DR-Gym is a new Gymnasium-compatible simulator for training utility demand-response policies with regime-switching wholesale prices and physics-based building demand.
Crawley, Linda K
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.AI 2verdicts
UNVERDICTED 2roles
method 1polarities
background 1representative citing papers
A modular multimodal generative AI framework produces synthetic residential building data from public sources, with reported overlaps exceeding 65% against a national reference dataset.
citing papers explorer
-
Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs
DR-Gym is a new Gymnasium-compatible simulator for training utility demand-response policies with regime-switching wholesale prices and physics-based building demand.
-
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
A modular multimodal generative AI framework produces synthetic residential building data from public sources, with reported overlaps exceeding 65% against a national reference dataset.